药物靶点的选择和验证

药物靶点的选择和验证是药物开发研究中一个重要的环节.随着现代分子生物学技术的发展和人类基因组计划的完成,出现了大量可供治疗干预的新型分子靶点,对这些新型分子靶点进行验证成为药物开发科学家所面临的重要任务.为此,就药物靶点及其选择、验证所需的分子技术基础作一简要综述.     

RNAi therapeutics: a potential new class of pharmaceutical drugs

The rapid identification of highly specific and potent drug candidates continues to be a substantial challenge with traditional pharmaceutical approaches. Moreover, many targets have proven to be intractable to traditional small-molecule and protein approaches. Therapeutics based on RNA interference (RNAi) offer a powerful method for rapidly identifying specific and potent inhibitors of disease targets from all molecular classes. Numerous proof-of-concept studies in animal models of human disease demonstrate the broad potential application of RNAi therapeutics. The major challenge for successful drug development is identifying delivery strategies that can be translated to the clinic. With advances in this area and the commencement of multiple clinical trials with RNAi therapeutic candidates, a transformation in modern medicine may soon be realized.     

Drug2ways: Reasoning over causal paths in biological networks for drug discovery

Elucidating the causal mechanisms responsible for disease can reveal potential therapeutic targets for pharmacological intervention and, accordingly, guide drug repositioning and discovery. In essence, the topology of a network can reveal the impact a drug candidate may have on a given biological state, leading the way for enhanced disease characterization and the design of advanced therapies. Network-based approaches, in particular, are highly suited for these purposes as they hold the capacity to identify the molecular mechanisms underlying disease. Here, we present drug2ways, a novel methodology that leverages multimodal causal networks for predicting drug candidates. Drug2ways implements an efficient algorithm which reasons over causal paths in large-scale biological networks to propose drug candidates for a given disease. We validate our approach using clinical trial information and demonstrate how drug2ways can be used for multiple applications to identify: i) single-target drug candidates, ii) candidates with polypharmacological properties that can optimize multiple targets, and iii) candidates for combination therapy. Finally, we make drug2ways available to the scientific community as a Python package that enables conducting these applications on multiple standard network formats.     

Network medicine

To more effectively target complex diseases like cancer, diabetes and schizophrenia, we may need to rethink our strategies for drug development and the selection of molecular targets for pharmacological treatments. Here, we discuss the potential use of protein signaling networks as the targets for new therapeutic intervention. We argue that by targeting the architecture of aberrant signaling networks associated with cancer and other diseases new therapeutic strategies can be implemented. Transforming medicine into a network driven endeavour will require quantitative measurements of cell signaling processes; we will describe how this may be performed and combined with new algorithms to predict the trajectories taken by a cellular system either in time or through disease states. We term this approach, network medicine.     

AlphaFold2 protein structure prediction: Implications for drug discovery

The drug discovery process involves designing compounds to selectively interact with their targets. The majority of therapeutic targets for low molecular weight (small molecule) drugs are proteins. The outstanding accuracy with which recent artificial intelligence methods compile the three-dimensional structure of proteins has made protein targets more accessible to the drug design process. Here, we present our perspective of the significance of accurate protein structure prediction on various stages of the small molecule drug discovery life cycle focusing on current capabilities and assessing how further evolution of such predictive procedures can have a more decisive impact in the discovery of new medicines.     

Apoptosis and cancer chemotherapy.

The explosion of interest in apoptosis amongst cancer biologists has been underpinned by the hope that a mechanistic understanding of cell death will inform our understanding of tumour drug resistance. A framework for drug-induced apoptosis can now be described in which a balance exists between intrinsic and extrinsic survival signals and drug-induced death signals. Pro- and anti-apoptotic signals impact upon pro-apoptotic members of the Bcl-2 family of proteins, which ultimately control the cellular fate. This framework suggests multiple points at which therapeutic interventions could be made to overcome drug resistance and, in addition, generates novel molecular targets for the induction of apoptosis in cancer cells.     

Peptide aptamers: specific inhibitors of protein function

In recent years, peptide aptamers have emerged as novel molecular tools that are useful for both basic and applied aspects of molecular medicine. Due to their ability to specifically bind to and inactivate a given target protein at the intracellular level, they provide a new experimental strategy for functional protein analyses, both in vitro and in vivo. In addition, by using peptide aptamers as "pertubagens", they can be employed for genetic analyses, in order to identify biochemical pathways, and their components, that are associated with the induction of distinct cellular phenotypes. Furthermore, peptide aptamers may be developed into diagnostic tools for the detection of a given target protein or for the generation of high-throughput protein arrays. Finally, the peptide aptamer technology has direct therapeutic implications. Peptide aptamers can be used in order to validate therapeutic targets at the intracellular level. Moreover, the peptide aptamer molecules themselves should possess therapeutic potential, both as lead structures for drug design and as a basis for the development of protein drugs.     

The mammalian clock and chronopharmacology

Increases in our understanding of the molecular control of circadian rhythms and subsequent signaling pathways has allowed for new therapeutic drug targets to be identified as well as for a better understanding of how to more efficaciously and safely utilize current drugs. Here, we review recent advances in targeting components of the molecular clock in mammals for the development of novel therapeutics as well as describe the impact of the circadian rhythm on drug efficacy and toxicity.     

Proteases as drug targets

The effective management of AIDS with HIV protease inhibitors, or the use of angiotensin-converting enzyme inhibitors to treat hypertension, indicates that proteases do make good drug targets. On the other hand, matrix metalloproteinase (MMP) inhibitors from several companies have failed in both cancer and rheumatoid arthritis clinical trials. Mindful of the MMP inhibitor experience, this chapter explores how tractable proteases are as drug targets from a chemistry perspective. It examines the recent success of other classes of drug for the treatment of rheumatoid arthritis, and highlights the need to consider where putative targets lie on pathophysiological pathways--regardless of what kind of therapeutic entity would be required to target them. With genome research yielding many possible new drug targets, it explores the likelihood of discovering proteolytic enzymes that are causally responsible for disease processes and that might therefore make better targets, especially if they lead to the development of drugs that can be administered orally. It also considers the impact that biologics are having on drug discovery, and in particular whether biologically derived therapeutics such as antibodies are likely to significantly alter the way we view proteases as targets and the methods used to discover therapeutic inhibitors.     

Can medical genetics and evolutionary biology inspire drug target identification?

New strategies for target identification are urgently needed to tackle the current productivity challenges in drug discovery. By examining successful human drug targets, it can be seen that approximately 50% are associated with genetic disorders. Further analysis shows that these successfully targeted genes share some common evolutionary features, which strongly suggests that evolutionary information can help identify drug targets with the greatest potential for therapeutic development.     

Pharmaco-proteomic analysis: application of proteomic analysis to the discovery and development of new drugs

Pharmacoproteomics may be defined as proteomics applied to the discovery of new therapeutic targets and to the study of drug effects. Proteomics is a powerful technique for analyzing the protein expression profiles in a biological system and its modifications in response to a stimulus or according to the physiological or pathophysiological states. Thus it is a technique of choice for the discovery of new drug targets. It is also an interesting approach for the study of the mode of action of treatments and preclinical drug development. This pharmacoproteomic approach may be particularly useful for the research of new molecular alterations implicated in type 2 diabetes and/or obesity and for the further characterization of existing or new drugs.     

Unveiling the druggable RNA targets and small molecule therapeutics

The increasing appreciation for the crucial roles of RNAs in infectious and non-infectious human diseases makes them attractive therapeutic targets. Coding and non-coding RNAs frequently fold into complex conformations which, if effectively targeted, offer opportunities to therapeutically modulate numerous cellular processes, including those linked to undruggable protein targets. Despite the considerable skepticism as to whether RNAs can be targeted with small molecule therapeutics, overwhelming evidence suggests the challenges we are currently facing are not outside the realm of possibility. In this review, we highlight the most recent advances in molecular techniques that have sparked a revolution in understanding the RNA structure-to-function relationship. We bring attention to the application of these modern techniques to identify druggable RNA targets and to assess small molecule binding specificity. Finally, we discuss novel screening methodologies that support RNA drug discovery and present examples of therapeutically valuable RNA targets.     

Mapping the binding sites of challenging drug targets

An increasing number of medically important proteins are challenging drug targets because their binding sites are too shallow or too polar, are cryptic and thus not detectable without a bound ligand or located in a protein–protein interface. While such proteins may not bind druglike small molecules with sufficiently high affinity, they are frequently druggable using novel therapeutic modalities. The need for such modalities can be determined by experimental or computational fragment based methods. Computational mapping by mixed solvent molecular dynamics simulations or the FTMap server can be used to determine binding hot spots. The strength and location of the hot spots provide very useful information for selecting potentially successful approaches to drug discovery.     

Nanoparticle Fullerene (C60) demonstrated stable binding with antibacterial potential towards probable targets of drug resistant Salmonella typhi – a computational perspective and in vitro investigation

Salmonella typhi, a Gram negative bacterium, has become multidrug resistant (MDR) to wide classes of antibacterials which necessitate an alarming precaution. This study focuses on the binding potential and therapeutic insight of Nano-Fullerene C60 towards virulent targets of Salmonella typhi by computational prediction and preliminary in vitro assays. The clinical isolates of Salmonella typhi were collected and antibiotic susceptibility profiles were assessed. The drug targets of pathogen were selected by rigorous literature survey and gene network analysis by various metabolic network resources. Based on this study, 20 targets were screened and the 3D structures of few drug targets were retrieved from PDB and others were computationally predicted. The structures of nanoleads such as Fullerene C60, ZnO and CuO were retrieved from drug databases. The binding potential of these nanoleads towards all selected targets were predicted by molecular docking. The best docked conformations were screened and concept was investigated by preliminary bioassays. This study revealed that most of the isolates of Salmonella typhi were found to be MDR (p < .05). The theoretical models of selected drug targets showed high stereochemical validity. The molecular docking studies suggested that Fullerene C60 showed better binding affinity towards the drug targets when compared to ZnO and CuO. The preliminary in vitro assays suggested that 100 μg/L Fullerene C60 posses significant inhibitory activities and absence of drug resistance to this nanoparticle. This study suggests that Fullerene C60 can be scaled up as probable lead molecules against the major drug targets of MDR Salmonella typhi.     

Potential therapeutic drug target identification in Community Acquired-Methicillin Resistant Staphylococcus aureus (CA-MRSA) using computational analysis

The emergence of multidrug-resistant strain of community-acquired methicillin resistant Staphylococcus aureus (CA-MRSA) strain has highlighted the urgent need for the alternative and effective therapeutic approach to combat the menace of this nosocomial pathogen. In the present work novel potential therapeutic drug targets have been identified through the metabolic pathways analysis. All the gene products involved in different metabolic pathways of CA-MRSA in KEGG database were searched against the proteome of Homo sapiens using the BLASTp program and the threshold of E-value was set to as 0.001. After database searching, 152 putative targets were identified. Among all 152 putative targets, 39 genes encoding for putative targets were identified as the essential genes from the DEG database which are indispensable for the survival of CA-MRSA. After extensive literature review, 7 targets were identified as potential therapeutic drug target. These targets are Fructose-bisphosphate aldolase, Phosphoglyceromutase, Purine nucleoside phosphorylase, Uridylate kinase, Tryptophan synthase subunit beta, Acetate kinase and UDP-N-acetylglucosamine 1-carboxyvinyltransferase. Except Uridylate kinase all the identified targets were involved in more than one metabolic pathways of CA-MRSA which underlines the importance of drug targets. These potential therapeutic drug targets can be exploited for the discovery of novel inhibitors for CA-MRSA using the structure based drug design (SBDD) strategy.     

“Targeting the absence” and therapeutic engineering for cancer therapy

The Gotham Prize was awarded to Alex Varshavsky for “Targeting the absence”, a strategy employing negative targets of cancer therapy. This is a brilliant example of therapeutic engineering: designing a sequence of events that leads to the selective killing of one type of cell, while sparing all others. A complex molecular device (Varshavsky’s Demon) examines DNA, recognizes the present target in normal cells and kills cancer cells. The strategy is limited by the delivery (transfection or infection) of DNA-based devices into each cell of our body. How can we overcome this limitation? Can therapeutic engineering be applied to small drugs? Can each small molecule reach a cell separately and, once in a cell, exert orchestrated action governed by cellular context? Here I describe how a combination of small drugs can acquire a demonic power to check, choose and selectively kill. The cytotoxicity is restricted to cells lacking (or having) one of the targets. For example, in the presence of a normal target, one drug can cancel the cytotoxic action of another drug. And by increasing a number of targets, we can increase the precision and power of such ‘restrictive’ combinations. Here I discuss restrictive combinations of currently available drugs that could be tested in clinical trials. Could then these combinations cure cancer today? And what does ‘cure’ really mean? This article suggests the answer.     

Comparative assessment of the therapeutic drug targets of C. botulinum ATCC 3502 and C. difficile str. 630 using in silico subtractive proteomics approach

Growing antimicrobial resistance of the pathogens against multiple drugs posed a serious threat to the human health worldwide. This fueled the need of identifying the novel therapeutic targets that can be used for developing new class of the drugs. Recently, there is a substantial rise in the rate of Clostridium infections as well as in the emergence of virulent and antibiotic resistant strains. Hence, there is an urgent need for the identification of potential therapeutic targets and the development of new drugs for the treatment and prevention of Clostridium infections. In the present study, a combinatorial approach involving systems biology and comparative genomics strategy was tested against Clostridium botulinum ATCC 3502 and Clostridium difficile str. 630 pathogens, to render potential therapeutic target at qualitative and quantitative level. This resulted in the identification of five common (present in both the pathogens, 34 in C. botulinum ATCC 3502 and 42 in C. difficile str. 630) drug targets followed by virtual screening–based identification of potential inhibitors employing molecular docking and molecular dynamics simulations. The identified targets will provide a solid platform for the designing of novel wide-spectrum lead compounds capable of inhibiting their catalytic activities against multidrug-resistant Clostridium in the near future.     

Identifying Unexpected Therapeutic Targets via Chemical-Protein Interactome

Drug medications inevitably affect not only their intended protein targets but also other proteins as well. In this study we examined the hypothesis that drugs that share the same therapeutic effect also share a common therapeutic mechanism by targeting not only known drug targets, but also by interacting unexpectedly on the same cryptic targets. By constructing and mining an Alzheimer''s disease (AD) drug-oriented chemical-protein interactome (CPI) using a matrix of 10 drug molecules known to treat AD towards 401 human protein pockets, we found that such cryptic targets exist. We recovered from CPI the only validated therapeutic target of AD, acetylcholinesterase (ACHE), and highlighted several other putative targets. For example, we discovered that estrogen receptor (ER) and histone deacetylase (HDAC), which have recently been identified as two new therapeutic targets of AD, might already have been targeted by the marketed AD drugs. We further established that the CPI profile of a drug can reflect its interacting character towards multi-protein sets, and that drugs with the same therapeutic attribute will share a similar interacting profile. These findings indicate that the CPI could represent the landscape of chemical-protein interactions and uncover “behind-the-scenes” aspects of the therapeutic mechanisms of existing drugs, providing testable hypotheses of the key nodes for network pharmacology or brand new drug targets for one-target pharmacology paradigm.     

Emerging insights into mitochondria-specific targeting and drug delivering strategies: Recent milestones and therapeutic implications

Mitochondria are a major intracellular organelle for drug targeting due to its functional roles in cellular metabolism and cell signaling for proliferation and cell death. Mitochondria-targeted treatment strategy could be promising to improve the therapeutic efficacy of cancer while minimizing the adverse side effects. Over the last decades, several studies have explored and focused on mitochondrial functions, which has led to the emergence of mitochondria-specific therapies. Molecules in the mitochondria are considered to be prime targets, and a wide range of molecular strategies have been designed for targeting mitochondria compared with that of the cytosol. In this review, we focused on the molecular mechanisms of mitochondria-specific ligand targeting and selective drug action strategies for targeting mitochondria, including those premised on mitochondrial targeting of signal peptides (MTS), cell-penetrating peptides (CPPs), and use of lipophilic cations. Furthermore, most research has concentrated on specific conjugation of ligands to therapeutic molecules to enhance their effectiveness. There are several variations for the ideal design and development for mitochondrial-targeted drugs, such as selecting a suitable ligand and linker targets. However, some challenges related to drug solubility and selectivity could be resolved using the nanocarrier system. Nanoparticles yield excellent advantages for targeting and transmitting therapeutic drugs, and they offer elegant platforms for mitochondria-specific drug delivery. We explain many of the advanced and proven strategies for multifunctional mitochondria-specific targets, which should contribute to achieving better anticancer therapies in a promising future.